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LinkedIn to Gmail: generate cold emails with Dumpling AI, GPT-4 & Dropcontact

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Who’s it for This template is perfect for digital agencies, SDRs, lead generators, or outreach teams that want to automatically convert LinkedIn company profiles into high quality cold emails. If y...

Best for

  • Lead Nurturing automation workflows
  • AI Chatbot automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.dropcontact, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.gmail, n8n-nodes-base.airtable, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Yang.

Original n8n.io source

1.1 Workflow description

Title
LinkedIn to Gmail: generate cold emails with Dumpling AI, GPT-4 & Dropcontact
Workflow name
LinkedIn to Gmail: generate cold emails with Dumpling AI, GPT-4 & Dropcontact

Who’s it for

This template is perfect for digital agencies, SDRs, lead generators, or outreach teams that want to automatically convert LinkedIn company profiles into high-quality cold emails. If you spend too much time researching and writing outreach messages, this workflow does all the heavy lifting for you.


What it does

Once a LinkedIn company profile URL is submitted via a web form, the workflow:

  1. Scrapes detailed company data using Dumpling AI
  2. Enriches the contact (email, name, country) using Dropcontact
  3. Sends company data and contact info to GPT-4, which generates:
    • A personalized subject line (max 8 words)
    • A short HTML cold email (4–6 sentences)
  4. Sends the cold email via Gmail
  5. Logs the lead details to Airtable for tracking

All AI-generated content follows strict formatting and tone guidelines, ensuring it's professional, human, and clean.


How it works

  1. Form Trigger: Collects the LinkedIn URL
  2. Dumpling AI: Extracts company name, description, size, location, website, etc.
  3. Dropcontact: Finds the contact's email and name based on enriched company details
  4. GPT-4: Writes a structured cold email and subject line in JSON format
  5. Gmail: Sends the personalized email to a fixed recipient
  6. Airtable: Logs the lead into a specified base/table for follow-up

Requirements

  • Dumpling AI API key (stored in HTTP header credentials)
  • Dropcontact API key
  • OpenAI GPT-4 credentials
  • Gmail account (OAuth2)
  • Airtable base & table set up with at least these fields:
    • Name
    • LinkedIn Company URL
    • People
    • website

How to customize

  • Modify the GPT prompt to reflect your brand tone or service offering
  • Replace Gmail with Slack, Outlook, or another communication tool
  • Add a “review and approve” step before sending emails
  • Add logic to avoid duplicates (e.g., check Airtable first)

> This workflow lets you go from LinkedIn profile to inbox-ready cold email in less than a minute—with full AI support.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Trigger on LinkedIn Profile Submission

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.2

Block 2 - Extract Company Info (Dumpling AI)

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 3 - Enrich Contact (Dropcontact)

Type / Role
n8n-nodes-base.dropcontact - dropcontact
Config choices
Version 1

Block 4 - Generate Cold Email (GPT-4)

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 5 - Send Cold Email via Gmail

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.1

Block 6 - Log Lead to Airtable

Type / Role
n8n-nodes-base.airtable - airtable
Config choices
Version 2.1

Block 7 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow LinkedIn to Gmail: generate cold emails with Dumpling AI, GPT-4 & Dropcontact
Complexity intermediate
Nodes 7
Categories Lead Nurturing, AI Chatbot
Author Yang
Published 30 Sept 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/9129/9129.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does LinkedIn to Gmail: generate cold emails with Dumpling AI, GPT-4 & Dropcontact do?

Who’s it for This template is perfect for digital agencies, SDRs, lead generators, or outreach teams that want to automatically convert LinkedIn company profiles into high quality cold emails. If y...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Nurturing, AI Chatbot use case.